Evidence map›Paper›PMID 37691863›Full record

ArticleTranslational lung cancer research2023

Patterns and outcome of unplanned care in lung cancer patients: an observational study in a medical oncology department.

Juan C Sánchez, Beatriz Nuñez-García, Alberto Ruano-Ravina, Mariola Blanco, Arturo Ramos Martín-Vegue, Ana Royuela, Blanca Cantos, Miriam Méndez, Virginia Calvo, Mariano Provencio

Open access · diamondAbstract read
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Article in Translational lung cancer research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.4field-weighted citation impact, top 18% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed, 5 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors at 3 institutions in 1 country.

Juan C SánchezMedical Oncology Department, Puerta de Hierro-Majadahonda University Hospital, Madrid, Spain.
Beatriz Nuñez-GarcíaMedical Oncology Department, Puerta de Hierro-Majadahonda University Hospital, Madrid, Spain.
Alberto Ruano-RavinaDepartment of Preventive Medicine and Public Health, University of Santiago de Compostela, Santiago de Compostela, Spain.
Mariola BlancoMedical Oncology Department, Puerta de Hierro-Majadahonda University Hospital, Madrid, Spain.
Arturo Ramos Martín-VegueAdmission and Clinical Documentation Department, Puerta de Hierro-Majadahonda University Hospital, Madrid, Spain.
Ana RoyuelaBiostatistics Unit, Hospital Universitario Puerta de Hierro Majadahonda, IDIPHISA, CIBERESP, ISCIII, Madrid, España.
Blanca CantosMedical Oncology Department, Puerta de Hierro-Majadahonda University Hospital, Madrid, Spain.
Miriam MéndezMedical Oncology Department, Puerta de Hierro-Majadahonda University Hospital, Madrid, Spain.
Virginia CalvoMedical Oncology Department, Puerta de Hierro-Majadahonda University Hospital, Madrid, Spain.
Mariano ProvencioMedical Oncology Department, Puerta de Hierro-Majadahonda University Hospital, Madrid, Spain.
Hospital Universitario Puerta de Hierro Majadahonda · ESInstituto de Salud Carlos III · ESUniversidade de Santiago de Compostela · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: There is increasing interest in unplanned care utilization among lung cancer patients and its evaluation should allow the identification of areas for quality improvement. Being a major priority for transformation in oncology, we aim to measure the risk and burden of unplanned care in a medical oncology department and identify factors that determine acute care. Methods: This was an observational retrospective cohort study that included all lung cancer patients treated at Puerta de Hierro-Majadahonda University Hospital between January 1st 2016 and December 31st 2020. Data cut off: June 30th, 2021. The main objective was to assess the incidence of unplanned care, emergency department (ED) visits and unplanned hospital admissions, from the first visit to the medical oncology service and its potential conditioning variables, considering patient death as a competitive event. As secondary objectives, a description and a quality of unplanned care evaluation was carried out. Results: A total of 821 lung cancer patients, all histologies and stages, were included (median follow-up: 32.8 months). Six hundred and eighty-one patients required consultation in the ED (82.9%), and 558 required an unplanned admission (68%). Eighty-six percent of ED consultations and 80.9% of unplanned hospital admissions were related to cancer or its treatment. The 1-year cumulative incidence for ED consultation and for unplanned hospital admission was 71.3% (95% CI: 67.8-74.5%) and 56.7% (95% CI: 53-60%), respectively. In the multivariable analysis, a higher tumor stage increased the risk of consultation in the ED, while a higher stage, Eastern Cooperative Oncology Group performance status (ECOG PS) 2 compared to ECOG PS 0, male sex, opioid or steroid use at first consultation increased the risk of unplanned admission. Conclusions: Our study shows that lung cancer patients have an extremely high demand for unplanned care. It is an early need and related to cancer in the majority of consultations and admissions and therefore a key issue for the management of oncology departments. We must optimize the follow-up of patients with a higher risk of unplanned care, advanced lung cancer or symptomatic patients, incorporating remote monitoring strategies and early interventions, as developing specific urgent care pathways for a better comprehensive cancer care.

Indexed as

cancer emergenciescancer managementLung cancerquality of careunplanned care

Identifiers

PMID37691863
PMCPMC10483072
OpenAlexW4386225967

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.